Multinucleon excitations in neutrino–nucleus scattering: connecting different microscopic models for the correlations - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue The European Physical Journal. Special Topics Année : 2021

Multinucleon excitations in neutrino–nucleus scattering: connecting different microscopic models for the correlations

Résumé

The problem of nucleon–nucleon correlations and meson exchange currents has been vividly debated in connection with the neutrino–nucleus cross sections. In this work we focus on nucleon–nucleon correlations by discussing a formal correspondence between the approaches based on independent particles and the ab initio approaches involving correlated wave functions. We use a general technique based on unitary transformation mapping the Fermion operators relative to bare nucleons into quasi-particle operators relative to dressed nucleons. We derive formulas for spectral functions, response functions, momentum distribution, separation energy, general enough to be applied with any kind of effective nucleon–nucleon interaction. We establish the relation between the non-energy-weighted sum rule and the Fermi sea depopulation. With our tools we evaluate whether approaches based on effective interactions are compatible with the expected amount of correlations coming from ab initio calculations. For this purpose we use as a test the Fermi sea depopulation and the value of the kinetic energy per nucleon.
Fichier principal
Vignette du fichier
2109.13550.pdf (699 Ko) Télécharger le fichier
Origine : Fichiers éditeurs autorisés sur une archive ouverte

Dates et versions

hal-03378006 , version 1 (06-03-2024)

Identifiants

Citer

G. Chanfray, M. Ericson, M. Martini. Multinucleon excitations in neutrino–nucleus scattering: connecting different microscopic models for the correlations. The European Physical Journal. Special Topics, 2021, 230 (24), pp.4357-4372. ⟨10.1140/epjs/s11734-021-00291-x⟩. ⟨hal-03378006⟩
39 Consultations
3 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More